diff --git a/lib/galaxy/config/sample/tool_conf.xml.sample b/lib/galaxy/config/sample/tool_conf.xml.sample
index 841f054b93d0..7ddcec93af91 100644
--- a/lib/galaxy/config/sample/tool_conf.xml.sample
+++ b/lib/galaxy/config/sample/tool_conf.xml.sample
@@ -140,6 +140,7 @@
+
diff --git a/tools/interactive/interactivetool_jupyter_notebook_1.0.0.xml b/tools/interactive/interactivetool_jupyter_notebook_1.0.0.xml
index 5b5e91e16144..870ecd19fd28 100644
--- a/tools/interactive/interactivetool_jupyter_notebook_1.0.0.xml
+++ b/tools/interactive/interactivetool_jupyter_notebook_1.0.0.xml
@@ -2,6 +2,9 @@
quay.io/bgruening/docker-jupyter-notebook:2021-03-05
+
+
+ 8888
diff --git a/tools/interactive/interactivetool_jupyter_notebook_1.0.1.xml b/tools/interactive/interactivetool_jupyter_notebook_1.0.1.xml
new file mode 100644
index 000000000000..8c249e289af2
--- /dev/null
+++ b/tools/interactive/interactivetool_jupyter_notebook_1.0.1.xml
@@ -0,0 +1,271 @@
+
+
+ quay.io/bgruening/docker-jupyter-notebook:24.07
+
+
+
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+ 8888
+ ipython/lab
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+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+ jupytool
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+ Welcome to the **JupyTool**! Here you can create, run, and share custom Galaxy tools based upon Jupyter Notebooks.
+
+ The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations,
+ visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization,
+ machine learning, and much more.
+
+ Galaxy offers you to use Jupyter Notebooks directly in Galaxy accessing and interacting with Galaxy datasets as you like. A very common use-case is to
+ do the heavy lifting and data reduction steps in Galaxy and the plotting and more `interactive` part on smaller datasets in Jupyter.
+
+ You can start with a new Jupyter notebook from scratch or load an already existing one, e.g. from your colleague and execute it on your dataset.
+ You can specify any number of user-defined inputs using the repeat input, providing `name` value, selecting the type of input, and then providing values.
+
+ You can make the JupyTool reusable in a workflow, by allowing the user to specify input values for the defined input blocks.
+ Inputs can be accessed by `name` from the automatically provided `GALAXY_INPUTS` dictionary.
+ Outputs can be written automatically to the user's history by writing to the `outputs` directory for one individual file or to the `outputs/collection` directory for multiple files.
+ Using collection tools, you can parse out the individual elements from the collection, as needed.
+
+ For backwards compatibility, you can import data into the notebook via a predefined `get()` function and write results back to Galaxy with a `put()` function.
+
+